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# Principal Research Scientist, Synthetic Data Generation

- **Company:** NVIDIA Corporation
- **Location:** New York, NY, United States (Remote available)
- **Salary:** $272,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Continuous Integration, Machine Learning, Software Maintenance, Software Engineering, Reinforcement Learning, Large Language Models, Git, Information Technology, Data Pipelines, Data Generation
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/principal-research-scientist-synthetic-data-generation-2100-nvidia-usa-9920043

## About the Role

* PhD in Computer Science, Machine Learning, Statistics, or a related field, or equivalent experience.
 * 15+ years of engineering and research experience in synthetic data generation, generative modeling, multimodal machine learning, or related areas.
 * Deep technical understanding of LLMs, how data shapes their pre-training, post-training, and RL stages, and inference frameworks such as vLLM or TGI.
 * Proven track record of developing or maintaining software libraries used by a broad developer community.
 * Experience building and optimizing scalable data pipelines for large-scale model training - throughput, distributed inference, and cost at cluster scale.
 * Strong publication record at premier venues such as NeurIPS, ICML, ICLR, ACL or similar.

Ways to stand out from the crowd:

 * Significant open-source contributions in ML or data tooling, with community adoption.
 * Experience with multimodal generation or understanding (vision-language, document AI, video, or audio).
 * Experience generating data for agentic, tool-use, or reinforcement-learning post-training, including RL environment design.
 * Background in differential privacy, de-identification, or synthetic data for regulated industries such as healthcare, finance, or government.
 * Experience influencing model training decisions at frontier scale, or partnering directly with pre-training and post-training teams.

## Description

* Build and scale data generation pipelines using LLM-based methods combined with automated quality evaluation. resulting in datasets to improve both initial training and fine-tuning of LLMs such as Nemotron. These data pipelines cover reasoning, coding, structured output, and multimodal understanding.
 * Pioneer data generation for agentic and tool-use training: synthetic trajectories, multi-turn interactions, function calling, and executable environments for reinforcement learning, including reward modeling and verifiable-reward data
 * Advance multimodal synthetic data generation - image, document, video, and audio - in partnership with NVIDIA's model teams.
 * Advance privacy-preserving and safe synthesis - differential privacy, anonymization, and de-identification - enabling model training on sensitive data in regulated domains.
 * Develop and maintain open-source libraries and SDKs with clean APIs and strong documentation.
 * Drive software excellence with modern tooling, architecture based on configuration, and professional Git/CI-CD.
 * Publish original research at top machine learning and AI conferences to maintain NVIDIA's technical leadership.
 * Mentor scientists and engineers across the team, raising the technical bar and growing the next generation of researchers.